Optimal ordering policies using a discounted cash-flow analysis when stock dependent demand and a trade credit is linked to order quantity

Size: px
Start display at page:

Download "Optimal ordering policies using a discounted cash-flow analysis when stock dependent demand and a trade credit is linked to order quantity"

Transcription

1 Amrican Jr. of Mathmatics and Scincs Vol., No., January 0 Copyright Mind Radr Publications Optimal ordring policis using a discountd cash-flow analysis whn stock dpndnt dmand and a trad crdit is linkd to ordr quantity Nita H. Shah and Amisha R. Patl Dpartmnt of Mathmatics, Guarat Univrsity, Ahmdabad U.V.Patl Collg of Enginring, Ganpat Univrsity, Khrva, Mhsana 8007 Guarat, India. Corrsponding Author: Nita H. Shah and Amisha R. Patl nitahshah@gmail.com Abstract In this articl, th purchasr s optimal pricing and ordring policy is dvlopd whn units in invntory ar subct to dtrioration at a constant rat. h dmand is assumd to b stock dpndnt and th supplir offrs to th purchasr diffrnt trad crdits. W solv th invntory problm by using a discountd cash-flow (DCF) approach, charactriz th optimal solution, and obtain som thortical rsults to find th optimal ordr quantity and th optimal rplnishmnt tim. Numrical xampls ar givn to illustrat th proposd modl. Snsitivity analysis for stock dpndnt paramtr and dtrioration rat is carrid out to driv managrial in signts. Kywords: Invntory, dtrioration, stock dpndnt dmand, discountd cash flow, trad crdit. Introduction In th traditional EOQ modl, it is assumd that th purchasr must pay to th supplir for th itms as soon as th itms ar rcivd. Howvr, in today s businss transactions, it is mor and mor common to s that th supplir provids a prmissibl dlay in paymnts or a pric discount to th purchasr if th ordr quantity is gratr than or qual to a prdtrmind quantity. o th supplir, a prmissibl dlay in paymnts or a pric discount is an fficint mthod to stimulat mor sals. In practic, th supplir is willing to offr th rtailr a crtain crdit priod without intrst during th prmissibl dlay priod to promot markt comptition. Bfor th nd of th trad crdit priod, th rtailr can sll th goods and accumulat rvnu and arn intrst. A highr intrst is chargd if th paymnt is not sttld by th nd of th trad crdit priod. Convrsly, to th purchasr, th supplir s trad crdit rducs his/hr purchas cost. Goyal (985) usd th avrag cost approach to stablish an EOQ modl and analyz th ffct of trad crdit on th optimal invntory policy. Aggarwal and Jaggi (995) xtndd Goyal s (985) modl to allow for an xponntial dtrioration rat undr th condition of prmissibl dlay in paymnts. Jamal, Sarkr, and Wang (997) thn furthr xtndd th modl to allow for shortags. Mor rlatd articls can b found in th work by Arclus, Shah, and Srinivasan (00), Jabr (007), Sana and Chaudhuri (008), tc. All ths modls assum that supplirs offr a dlayd paymnt priod to rtailrs, but th rtailrs fail to offr th dlayd paymnt to its customrs. Chung and Huang (007) continud to amnd Huang (006) to propos an EOQ modl for dtriorating itms undr th two-lvl trad crdit policy. Jaggi, Goyal, and Gol (008) stablishd an EOQ modl undr a two-lvl trad crdit policy with crdit linkd dmand. In contrast, ng and Chang (009) modifid Huang (007) by rlaxing th assumption that th trad crdit priod offrd by th supplir is longr than th trad crdit priod offrd by th rtailr. It is worthwhil noting that all ths modls discussd optimal invntory stratgy undr 7

2 Nita H. Shah and Amisha R. Patl two-lvl trad crdit from th prspctiv of th buyr or th supplir only. Subsquntly, svral modls concrning th intgratd invntory modl with trad crdit policis hav continud to b proposd by Sarkr, Jamal, and Wang (000), Jabr and Osman (006), Yang and W (006), Chn and Kang (007), Su, Ouyang, Ho, and Chang (007), and Ho, Ouyang, and Su (008).Su t al. (007) assumd that th supplir and th rtailr adoptd a two-lvl trad crdit policy. Howvr, Subsquntly, svral modls concrning th intgratd invntory modl with trad crdit policis hav continud to b proposd by Sarkr, Jamal, and Wang (000), Jabr and Osman (006), Yang and W (006), Chn and Kang (007), Su, Ouyang, Ho, and Chang (007), and Ho, Ouyang, and Su (008).Sut al. (007) assumd that th rtailr obtaind a longr trad crdit priod from th supplir and providd a rlativly shortr trad crdit priod to customrs. Additionally, th dmand rat only dpnds on th lngth of a customr s crdit priod (i.. crdit-linkd dmand rat). Ouyang, Chang, and ng (005) gnralizd Goyal s (985) modl to obtain an optimal ordring policy for th rtailr whn th supplir provids not only a cash discount but also a prmissibl dlay in paymnts. ng, Ouyang, and Chn (006) dvlopd an conomic production quantity modl in which th manufacturr rcivs th supplir trad crdit and provids th customr trad crdit simultanously. In 007, Ouyang, Wu, and Yang proposd an conomic ordr quantity invntory modl with limitd storag capacity. hy considrd th situation whn h supplir provids a cash discount and a prmissibl dlay in paymnts for th rtailr. Ho, Ouyang, and Su (008) stablishd an intgratd supplir-buyr invntory modl with th assumption that th markt dmand is snsitiv to th rtail pric and discussd th trad crdit policy including a cash discount and dlayd paymnt. Chang, Ho, Ouyang, and Su (009) incorporatd th concpt of vndor-buyr intgration and ordr-siz-dpndnt trad crdit. hy prsntd a stylizd modl to dtrmin th optimal stratgy for an intgratd vndor-buyr invntory systm undr th condition of trad crdit linkd to th ordr quantity. Many rlatd paprs can b found in Hwang and Shinn (997), Jamal, Sarkr, and Wang (000), Liao, sai, and Su (000), ng (00), Abad and Jaggi (00), Arclus, Shah, and Srinivasan (00), Chang, Ouyang, and ng (00), Shinn and Hwang (00), Chang (00), Chung and Liao (00), ng (006), ng, Chang, Chrn, and Chan (007), ng and Goyal (007) and othrs. In th abov paprs, th rsarchrs adoptd th avrag cost approach, and did not considr th ffct of th tim-valu of it is ncssary to tak th ffct of th tim-valu of mony on th invntory policy into considration. rippi and Lwin (97) and Kim and Chung (990) rcognizd th nd to xplor invntory problms by using DCF approach or th prsnt valu concpt. Chung (989) adoptd th DCF approach for th analysis of th optimal invntory policy in th prsnc of a trad crdit. W and Law (00) dvlopd a dtriorating invntory modl with pric-dpndnt dmand and took into account th tim-valu of mony. hy applid th DCF approach for problm analysis. Grubbström and Kingsman (00) discussd th problm of dtrmining th optimal ordring quantitis of a purchasd itm whr thr ar stp changs in pric and th nt prsnt valu (NPV) principl is applid. W, Yu Jonas, and Law (005) stablishd a two warhous invntory modl with partial backordring and Wibull distribution dtrioration, in which th DCF and optimization framwork ar prsntd to driv th rplnishmnt policy that minimizs th total prsnt valu cost pr unit tim. Jaggi, Aggarwal, and Gol (006) prsntd th optimal invntory rplnishmnt policy for dtriorating itms undr inflationary conditions by using th DCF approach ovr a finit planning horizon. Dy, Ouyang, and Hsih (007) considrd an infinit horizon, singl product conomic ordr quantity whr dmand and h dtrioration rat ar continuous and diffrntiabl functions of pric and tim, rspctivly. hy applid th DCF approach to dal with th problm. Hsih, Dy, and Ouyang (008) stablishd an invntory modl for dtriorating itms with two lvls of storags, prmitting shortag and complt backlogging and usd th NPV of total cost as th obctiv function for th gnralizd invntory systm. Svral intrsting and rlvant paprs rlatd to trad crdits using th DCF approach ar Chapman, Ward, Coopr, and Pag (98), Dallnbach (986), Ward and Chapman (987), Jaggi and Aggarwal (99), Chung and Huang (000), Chung and Liao (006), Soni, Gor, and Shah (006), ng (006) and othrs. In this papr, w us th DCF approach to stablish an invntory modl for dtriorating itms with trad crdit basd on th ordr quantity. h supplir offrs his/hr customrs two altrnativs linkd to ordr quantity. On is that if th ordr quantity is gratr than or qual to a prdtrmind quantity, thn th supplir provids a longr prmissibl dlay in paymnts. Othrwis, th total purchas cost must b paid by a fixd crdit priod. h othr is that if th ordr quantity is gratr than or qual to a prdtrmind quantity, thn thr is a quantity discount on pric and th balanc must b paid by a fixd crdit priod. Othrwis, thr is no pric discount and th total purchas cost must b paid by a fixd crdit priod. W thn study th ncssary and sufficint conditions for finding th optimal solution to th problm. Finally, som numrical xampls ar prsntd to illustrat th thortical rsults. his articl is organizd as follows. In Sction, w provid th notation and assumptions. In Sction, w stablishd th discount cash-flow modls. Sction contains th 8

3 Optimal ordring policis using a discountd cash-flow thortical rsults. W obtain a thorm to show th optimal solution not only xists but also is uniqu for th prsnt valu functions of all futur cash outflows. h comparison among diffrnt policis is in Sction 5. Sction 6 provids a discussion of th diffrnt policy altrnativs basd on diffrnt paramtr valus. Svral numrical xampls ar givn to illustrat th rsults in this papr in Sction 7. Finally, Sction 8 draws conclusions and suggsts potntial dirctions for futur rsarch. Assumptions and Notations: h mathmatical modls in this rsarch articl ar dvlopd using following assumptions:. h dmand rat for th itm is stock dpndnt.. Shortags ar not allowd.. h rplnishmnt rat is instantanous.. im horizon is infinit. 5. h units in invntory dtriorat at a constant rat, 0. h dtrioratd units can nithr b rpaird nor rplacd during th cycl tim. 6. h supplir offrs his/hr customrs two altrnativs linkd to ordr quantity: (a) A prmissibl dlay. If th ordr quantity is gratr than or qual to a prdtrmind quantity Q, thn th total purchas cost must b paid by N. Othrwis, th total purchas cost must b paid by M (with N > M). (b) A pric discount. If th ordr quantity is gratr than or qual to a prdtrmind quantity Q, thn thr is a quantity discount on pric and th balanc must b paid by M. Othrwis, thr is no pric discount and th total purchas cost must b paid by M. In addition, th following notations ar usd throughout this papr: i : th out-of-pockt holding cost as a proportion of th itm valu pr unit tim C : th unit purchasing cost. A : th ordring cost pr ordr. r : th opportunity cost ( i.. th continuous discounting rat ) pr unit tim. Q : th ordr quantity Q : th minimum ordr quantity at which th prmissibl dlay in paymnts M is prmittd : th tim intrval such that Q units ar dpltd to zro du to both dmand and dtrioration Q : : th minimum ordr quantity at which th cash discount is availabl th tim intrval such that Q units ar dpltd to zro du to both dmand and dtrioration d : th cash discount rat, 0 < d < : th cycl tim (a dcision variabl). I t : th invntory lvl at any instant of tim t, 0 t M : th crdit priod at which th ordr quantity is lss than Q (or Q ) N : th crdit priod at which th ordr quantity is gratr than or qual to Q, with > N > M θ : constant rat of dtrioration, 0 θ R I t : th dmand rat at tim t. w considr RI t I t dnots rat of chang of dmand du to stock. PV() : th prsnt valu of cash flows for th first rplnishmnt cycl. () : th prsnt valu of all futur cash flows. Q* : th optimal ordr quantity. * : th optimal rplnishmnt tim intrval. * : th minimum prsnt valu of all futur cash flows, i.. * = (* ) Discountd cash flow mathmatical Modls: whr 0 is constant dmand and 0 9

4 Nita H. Shah and Amisha R. Patl h dpltion of th invntory is du to stock dpndnt dmand and dtrioration of units. h invntory lvl at any instant of is govrnd by th diffrntial quation: di t I t RI t, 0 t dt with th initial condition I(0) = Q and boundary condition I() = 0h solution of Eq. () is givn by, I t t, 0 t and ordr quantity is Q I 0 From (), w can obtain th tim intrval such that Q units ar dpltd to zro du to both stock dpndnt dmand and dtrioration as Q ln Consquntly, it is asy to s that th inquality Q < Q holds if and only if <. Similarly, Q ln and th inquality Q < Q holds if and only if <. Basd on th valus of, and, thr ar four cass to b considrd: () <, (), () () () () () (5) < and (). For ach cas, th corrsponding paymnt tim and cash discount rat ar prsntd in abl. abl. h paymnt tim and cash discount rat for diffrnt cass. Cas Paymnt tim Cash discount rat () N 0 Now, w dvlop th discountd cash-flow modl for ach cas. () < M 0 Cas. < (i.. th () M d ordr quantity is lss than Q ) h prsnt valu of cash flows for th first cycl; th componnts ar valuatd as following:. At th bginning of ach rplnishmnt cycl, cash out flows of th ordring cost, A. At th nd of th crdit priod, M, th customr pays th full purchas cost, CQ, if th ordr quantity is lss than Q. Using (), C Q C ; whr stands for th rplnishmnt tim intrval for cas.. h prsnt valu of th purchas cost at th continuous discounting rat r is C Q C rm () < M 0 0

5 Optimal ordring policis using a discountd cash-flow ic. h out of pockt invntory holding cost at tim t is t i C I t 5. h prsnt valu of th out of pockt holding cost in a rplnishmnt cycl with th continuous discounting ic rat r is rt t dt 0 Consquntly, th prsnt valu of cash flows for th first cycl is C rm ic rt PV A t dt 0 C rm ic PV A r r r r r hn th prsnt valu of all futur cash flows is PV PV nr PV nr n0 n0 r If M=0 and β = 0, thn Eq. (7) is th sam as Eq. (6) in Chung and Liao (006). If β = 0, thn Eq. (7) is as that of Chung t. al. (00) Cas. (i.. th ordr quantity is gratr than or qual to Q ) In this cas, th supplir offrs to customr a prmissibl dlay N in paymnts. By th similar procdur as dscribd in cas, w hav that th prsnt valu of all futur cash flows is PV PV nr PV nr n0 n0 r whr is th rplnishmnt cycl lngth for cas and C rn ic PV A r r r r r Cas. < (i.. th ordr quantity is lss than Q ) In this cas, th supplir offrs to customr a prmissibl dlay M in paymnts. hus th prsnt valu of all futur cash flows is PV PV nr PV nr n0 n0 r whr is th rplnishmnt cycl lngth for cas and C rm ic PV A r r r r r Cas. (i.. th ordr quantity is gratr than or qual to Q ) In this cas, th supplir offrs a prmissibl dlay M in paymnts also provids a cash discount with th rat d. hus th prsnt valu of all futur cash flows is PV PV nr PV nr n0 n0 r whr is th rplnishmnt cycl lngth for cas and C ( d ) rm ic ( d ) PV A r r r r r Combining th Eq. (7) - (0), th prsnt valu of all futur cash flows for ach cas is shown as follows: (6) (7) (8) (9) (0)

6 Nita H. Shah and Amisha R. Patl C( d ) ic( d ) A rm r r r r r r for =,,,, whr M = M = M = M and M = N, also d = d = d = 0 and d = d. Now, to dtrmin th optimal solution that provids th smallst prsnt valu of all futur cash flows for ach cas to purchasr.. hortical rsults In this sction, w dtrmin th optimal valu of (dnotd by ) for cas such that has a minimum valu, =,,,. By taking th first drivativ of in () with rspct to, w hav, d r ic( d ) r r r d r r whr and C ( d ) rm i C ( d ) A r C ( d ) rm i C ( d ) r Ltting d d 0, and rarranging trms, w obtain r i C ( d ) r r r From (), w can obtain th following rsult. horm 0, which satisfis Eq. () not only xists but also is uniqu, for =,,,. (a) h solution (b) h solution to () is th uniqu optimal valu that minimizs, for =,,, Proof. S Appndix for th dtaild proof. Now, w want to driv th xplicit closd-form solution of.utilizing th fact that r r r. as (β + θ + r) is small.. as (β + θ) is small. and (), w obtain r r i C ( d ) r A r r Consquntly, w hav th optimal rplnishmnt cycl tim * A A rm C d r i r Ltting M = M and d = 0, w obtain th optimal rplnishmnt cycl lngth for Cas as approximatly qual to * A C r rm i () () () () (5) (6)

7 Optimal ordring policis using a discountd cash-flow Obviously,, w substitut (6) into inquality, and obtain that if and only if A C r rm i h optimal prsnt valu of all futur cash flows can b obtaind as * rm i C A A C r i * r r r r Similarly, ltting M = N and d = 0, w obtain th optimal rplnishmnt cycl lngth for Cas as approximatly qual to * A C r rn i Substitut (9) into inquality, w obtain that (7) (8) (9) if and only if A C r rn i h optimal prsnt valu of all futur cash flows can b obtaind as * rn i C A A C r i * r r r r Likwis, lt M = M and d = 0, w obtain th optimal rplnishmnt cycl lngth for Cas as approximatly qual to * A C r rm i Substitut () into inquality, w obtain that if and only if A C r rm i h optimal prsnt valu of all futur cash flows can b obtaind as * rm i C A A C r i * r r r r Last, ltting M = M and d = d, w can obtain th optimal rplnishmnt cycl lngth for Cas as approximatly qual to * A C ( d) r rm i Substitut (5) into inquality, w obtain that if and only if A C ( d) r rm i (6) h optimal prsnt valu of all futur cash flows can b obtaind as * ( ) ( ) rm i C d A A C d r i * r r (7) r r 5. Comparisons among diffrnt policis: By comparing th optimal rplnishmnt cycls, ordrd quantitis and prsnt valus of all futur cash flows among ths four cass, w obtain th following rsult. (0) () () () () (5)

8 Nita H. Shah and Amisha R. Patl horm rm r i d r i rn (a) If and, thn Q Q Q Q rn r i d rm r i, thn (b) If Q Q Q Q rn r i d rm r i (c) If and and, thn Q Q Q Q Proof. rn r i d rm r i rm rn r i r i. hn, by Eq. (), Q If, thn from N > M, w obtain. Using Eq. (6), (9), () and (5), w can asily obtain, =,,, is an incrasing function of. hus, Q Q Q Q. his complts th proof of (a). By th similar procdur as dscribd in (a), th proofs of (b) and (c) can b asily compltd. 6. Comparisons among diffrnt policis hr ar thr situations: (A) Q Q ; (B) Q Q ; (C) Q Q for opting th optimal altrnativ basd on th valus of Q and Q. Now, w will talk about how to us th faturs of th optimal solution in ordr to find th optimal altrnativ asily. For notational convninc, Lt C r rm i, C r rn i, C r rm i and C ( d ) r rm i, Hnc w hav and. 6.. Situation A: Q Q his taks plac whn th minimum ordr quantity with a longr prmissibl dlay in paymnt N is largr than that with cash discount rat d. Furthrmor, w gt. Using Eq. (7), (0), () and (6) th rplnishmnt cycl * that minimizs th prsnt valu of all futur cash flows can b obtaind. hus, w hav th following rsults, for which th proof is trivial and hnc w omit it hr. horm. Whn Q Q Situation A Condition (*) * A min{ ( ), ( ), ( )} A min{ ( ), ( ), ( )} A min{ ( ), ( ), ( )}, or, or, or A min{ ( ), ( )} or A min{ ( ), ( ), ( )}, or A min{ ( ), ( ), ( ), ( )},, or

9 Optimal ordring policis using a discountd cash-flow A min{ ( ), ( )} or A min{ ( ), ( ), ( )},, or A ( ) 6.. Situation B: Q Q his occurs whn th minimum ordr quantity with a longr prmissibl dlay in paymnt Nis smallr than that with cash discount rat d, hnc,. By Eq. (7), (0), () and (6) th rplnishmnt cycl * that minimizs th prsnt valu of all futur cash flows can b obtaind and is givn as follows. h proof is omittd. horm. Whn Q Q Situation B Condition (*) * A min{ ( ), ( ), ( )}, or A min{ ( ), ( )} or A min{ ( ), ( )} or A min{ ( ), ( ), ( )}, or A ( ) A min{ ( ), ( )} or A min{ ( ), ( )} or A min{ ( ), ( ), ( )},, or A min{ ( ), ( ), ( ), ( )},, or A min{ ( ), ( )} or 6.. Situation C: Q Q his mans th minimum ordr quantity with a longr prmissibl dlay in paymnt N is th sam as that with cash discount rat d, thus, and thn. Using Eq. (7), (0),() and (6) th rplnishmnt cycl * that minimizs th prsnt valu of all futur cash flows can b obtaind and is givn as follows. h proof is omittd. horm 5. Whn Q Q Situation C Condition (*) * A min{ ( ), ( )} or A min{ ( ), ( ), ( )}, or A min{ ( ), ( )} or A min{ ( ), ( )} or 5

10 Nita H. Shah and Amisha R. Patl A ( ) 7. Numrical Exampls: Exampl. Considr, th paramtric valus α = 000 units, β = 0.05, C = 0, θ = 0.5, i = 0.,r = 0.05, d = 0.05, M = 5/65 yar = 5 days, N = 0/65 yar = 0 days. If Q 00 units and Q 80 units, w know that Q Q, , , 88.79, 88.08, , By using horm, w obtain th computational rsults for diffrnt valus of A as shown in abl. Exampl. By rplacing N = 5/65 yar = 5 days and Q 50 units, in Exampl, w obtain that Q Q, , 0.779, 88.79, 87.97, 96.6, By using horm, w obtain th computational rsults for diffrnt valus of A as shown in abl. Exampl. By substituting Q 00 units, in Exampl, w obtain that Q Q, , 88.79, 88.08, 88.79, By using horm 5, w obtain th computational rsults for diffrnt valus of A as shown in abl. Exampl. Rplacing A = 5 and Q 0 units, in Exampl, w obtain Q Q, 0.089, h computational rsults for diffrnt valus of d and N ar shown in abl 5 abl Optimal solution for diffrnt ordring costs A ( Q Q ) A * Q* * 0 y= = = = = abl Optimal solution for diffrnt ordring costs A ( Q Q ) A * Q* * 0 == == y= y= y= abl Optimal solution for diffrnt ordring costs A ( Q Q ) A * Q* * 0 y= y= = = = abl 5 Optimal solution for diffrnt cash discount rat d and N N d * Q* * =

11 Optimal ordring policis using a discountd cash-flow 0.05 = = = = = = = = = = = abl -6 Snsitivity analysis for α ( Q Q ) α A * Q* * y= = = = = y= = = = = y= = = = = abl -7 Snsitivity analysis for α ( Q Q ) α A * Q* * = = = y= y= == == y= y= y= = = y= y= y= abl -8 Snsitivity analysis for α ( Q Q ) α A * Q* * y= y= y=

12 Nita H. Shah and Amisha R. Patl 60 = = y= y= = = = y= y= = = = abl -9 Snsitivity analysis for β ( Q Q ) β A * Q* * y= = = = = y= = = = = y= = = = = abl -0 Snsitivity analysis for β ( Q Q ) β A * Q* * = = y= y= y= == == y= y= y= = = = y= y= abl - Snsitivity analysis for β ( Q Q ) β A * Q* * y= y=

13 Optimal ordring policis using a discountd cash-flow 5 = = = y= y= = = = y= y= = = = abl Snsitivity analysis for θ ( Q Q ) θ A * Q* * y= = = = = y= = = = = y= = = = = abl Snsitivity analysis for θ ( Q Q ) θ A * Q* * = y= y= y= y= ==

14 Nita H. Shah and Amisha R. Patl 5 == y= y= y= = = = y= y= abl Snsitivity analysis for θ ( Q Q ) θ A * Q* * y= = = = = y= y= = = = y= y= y= = = Conclusions: Appndix A o prov horm a, w st th lft-hand sid of () as r D r ; =,,,. aking th first drivativ of D with rspct to, w gt dd r r 0 d Hnc, D is a strictly incrasing function in, for =,,,. Furthrmor, D 0 r 0 ic( d) D r ( r) his complts th proof. that, and lim D. hrfor, thr xists a uniqu solution 0, such, that is, th solution 0, which satisfis Eq. () not only xists but also is uniqu. o prov horm b, w simply chck th scond-ordr condition at point. aking th scond drivativ of with rspct to and thn substituting into this quation, w obtain 0

15 Optimal ordring policis using a discountd cash-flow r d r ic( d ) r r r r d ( r) r r r r ic( d ) r r ( r) r r r (by using ()) > 0 his complts th proof Rfrncs:. Abad, P. L., & Jaggi, C. K.: A oint approach for stting unit pric and th lngth of th crdit priod for a sllr whn nd dmand is pric snsitiv. Intrnational Journal of Production Economics, 8 (00) 5. Aggarwal, S. P., & Jaggi, C. K.: Ordring policis of dtriorating itms undr prmissibl dlay in paymnts. Journal of th Oprational Rsarch Socity, 6 (995) Arclus, F. J., Shah, N. H., & Srinivasan, G.: Rtailr s rspons to spcial sals: Pric discount vs. trad crdit. Omga Intrnational Journal of Managmnt Scinc, 9 (00) 7 8. Arclus, F. J., Shah, N. H., & Srinivasan, G.: Rtailr s pricing, crdit and invntory policis for dtriorating itms in rspons to tmporary pric/crdit incntivs. Intrnational Journal of Production Economics, 8 8 (00) Chang, C..: An EOQ modl with dtriorating itms undr inflation whn supplir crdits linkd to ordr quantity. Intrnational Journal of Production Economics, 88 (00) Chang, C.., Ouyang, L. Y., & ng, J..: An EOQ modl for dtriorating itm sundr supplir crdits linkd to ordring quantity. Applid Mathmatical Modlling, 7 (00) Chang, H. C., Ho, C. H., Ouyang, L. Y., & Su, C. H.: h optimal pricing and ordring policy for an intgratd invntory modl whn trad crdit linkd to ordr quantity. Applid Mathmatical Modlling, (009) Chapman, C. B., Ward, S. C., Coopr, D. F., & Pag, M. J.: Crdit policy and invntory control. Journal of th Oprational Rsarch Socity, 5 (98) Chn, L. H., & Kang, F. S.: Intgratd Vndor buyr co oprativ invntory modls with variant prmissibl dlay in paymnts. Europan Journal of Oprational Rsarch, 8 (007) Chung, K. H.: Invntory control and trad crdit rvisitd. Journal of th Oprational Rsarch Socity, 0 (989) Chung, K. J., & Huang, C. K.: Convxitis of th prsnt valu functions of all futur cash outflows in invntory and crdit. Production Planning and Control, (000) 0. Chung, K. J., & Huang,. S.: h optimal rtailr s ordring policis for dtriorating itms with limitd storag capacity undr trad crdit financing. Intrnational Journal of Production Economics, 06 (007) 7 5. Chung, K. J., & Liao, J. J.: Lot-sizing dcisions undr trad crdit dpnding on th ordring quantity. Computrs and Oprations Rsarch, (00) Chung, K. J., & Liao, J. J.: h optimal ordring policy in a DCF analysis for dtriorating itms whn trad crdit dpnds on th ordr quantity. Intrnational Journal of production Economics, 00 (006) Dallnbach, H. G.: Invntory control and trad crdit. Journal of th Oprational Rsarch Socity, 7 (986) Dy, C. Y., Ouyang, L. Y., & Hsih,. P.: Invntory and pricing stratgis for dtriorating itms with shortags: A discountd cash flow approach. Computrs and Industrial Enginring, 5 (007) Goyal, S. K.: Economic ordr quantity undr conditions of prmissibl dlay in paymnts. Journal of th Oprational Rsarch Socity, 6 (985) Grubbström, R. W., & Kingsman, B. G.: Ordring and invntory policis for stp changs in th unit itm cost: A discountd cash flow approach. Managmnt scinc, 50 (00) Ho, C. H., Ouyang, L. Y., & Su, C. H.: Optimal pricing, shipmnt and paymnt policy for an intgratd supplir-buyr invntory modl with two-part trad crdit. Europan Journal of Oprational Rsarch, 87 (008) Hsih,. P., Dy, C. Y., & Ouyang, L. Y.: Dtrmining optimal lot siz for a two-warhous systm with dtrioration and shortags using nt prsnt valu. Europan Journal of Oprational Rsarch, 9 (008) Huang, Y. F.: An invntory modl undr two lvls of trad crdit and limitd storag spac drivd without drivativs. Applid Mathmatical Modlling, 0 (006) 8 8. Huang, Y. F.: h optimal rtailr s rplnishmnt dcisions in th EPQ modl undr two lvls of trad crdit policy.

16 Nita H. Shah and Amisha R. Patl Europan Journal of Oprational Rsarch, 76 (007) Hwang, H., & Shinn, S. W.: Rtailr s pricing and lot sizing policy for xponntially dtriorating products undr th condition of prmissibl dlay in paymnts. Computrs and Oprations Rsarch, (997) Jabr, M. Y.: Lot sizing with prmissibl dlay in paymnts and ntropy cost. Computrs & Industrial Enginring, 5 (007) Jaggi, C. K., & Aggarwal, S. P.: Crdit financing in conomic ordring policis of dtriorating itms. Intrnational Journal of Production Economics, (99) Jaggi, C. K., Aggarwal, K. K., & Gol, S. K.: Optimal ordr policy for dtriorating itms with inflation inducd dmand. Intrnational Journal of Production Economics, 0 (006) Jaggi, C. K., Goyal, S. K., & Gol, S. K.: Rtailr s optimal rplnishmnt dcisions with crdit linkd dmand undr prmissibl dlay in paymnts. Europan Journal of Oprational Rsarch, 90 (008) Jamal, A. M., Sarkr, B. R., & Wang, S.: An ordring policy for dtriorating itms with allowabl shortag and prmissibl dlay in paymnt. Journal of th Oprational Rsarch Socity, 8 (997) Jamal, A. M., Sarkr, B. R., & Wang, S.: Optimal paymnt tim for a rtailr Production Economics, 66 (000) Kim, Y. H., & Chung, K. H.: An intgratd valuation of invstmnt in invntory and crdit a cash flow approach. Journal of Businss Financ and Accounting, 7 (990) Liao, H. C., sai, C. H., & Su, C..: An invntory modl with dtriorating itm sundr inflation whn a dlay in paymnt is prmissibl. Intrnational Journal of Production Economics, 6 (000) 07. Ouyang, L. Y., Chang, C.., & ng, J..: An EOQ modl for dtriorating itm sundr trad crdits. Journal of th Oprational Rsarch Socity, 56 (005) Ouyang, L. Y., Wu, K. S., & Yang, C..: An EOQ modl with limitd storag capacity undr trad crdits. Asia-Pacific Journal of Oprational Rsarch, (007) Sana, S. S., & Chaudhuri, K. S.: A dtrministic EOQ modl with dlay in paymnts and pric discount offrs. Europan Journal of Oprational Rsarch, 8 (008) Shinn, S. W., & Hwang, H.: Optimal pricing and ordring policis for rtailr sundr ordr-siz-dpndnt dlay in paymnts. Computrs and Oprations Rsarch, 0 (00) Soni, H., Gor, A. S., & Shah, N. H.: An EOQ modl for progrssiv paymnt schm undr DCF approach. Asia Pacific Journal of Oprational Rsarch, (006) Su, C. H., Ouyang, L. Y., Ho, C. H., & Chang, C..: Rtailr s invntory policy and supplir s dlivry policy undr two lvl trad crdit stratgy. Asia Pacific Journal of Oprational Rsarch, (5) (007) ng, J..: On conomic ordr quantity undr conditions of prmissibl dlay in paymnts. Journal of th Oprational Rsarch Socity, 5 (00) ng, J..: Discount cash-flow analysis on invntory control undr various supplirs trad crdits. Intrnational Journal of Oprations Rsarch, (006) 9 0. ng, J.., & Goyal, S. K.: Optimal ordring policis for a rtailr in a supply chain with up-stram and down-stram trad crdits. Journal of th Oprational Rsarch Socity, 58 (007) ng, J.., Chang, C.., Chrn, M. S., & Chan, Y. L.: Rtailr s optimal ordring policis with trad crdit financing. Intrnational Journal of Systms Scinc, 8 (007) ng, J.., Chang, C..: Optimal manufacturr s rplnishmnt policis in th EPQ modl undr two lvls of trad crdit policy. Europan Journal of Oprational Rsarch, 95 (009) 58 6 ng, J.., Ouyang, L. Y., & Chn, L. H.: Optimal manufacturr s pricing and lot-sizing policis undr trad crdit financing. Intrnational ransactions in Oprational Rsarch, (006) rippi, R. R., & Lwin, D. E.: A prsnt valu formulation of th classical EOQ problm. Dcision Scinc, 5 (97) Ward, S. C., & Chapman, C. B.: Invntory control and trad crdit A rply to Dallnbach. Journal of th Oprational Rsarch Socity, 8 (987) W, H. M., & Law, S..: Rplnishmnt and pricing policy for dtriorating itms taking into account th tim-valu of mony. Intrnational Journal of Production Economics, 7 (00) 0 7 W, H. M., Yu Jonas, C. P., & Law, S..: wo-warhous invntory modl with partial backordring and wibull distribution dtrioration undr inflation. Journal of th Chins Institut of Industrial Enginrs, (005) Yang, P. C., & W, H. M.: A collaborativ invntory systm with prmissibl dlay in paymnt for dtriorating itms. Mathmatical and computr modlling, (006) 09

A COLLABORATIVE STRATEGY FOR A THREE ECHELON SUPPLY CHAIN WITH RAMP TYPE DEMAND, DETERIORATION AND INFLATION

A COLLABORATIVE STRATEGY FOR A THREE ECHELON SUPPLY CHAIN WITH RAMP TYPE DEMAND, DETERIORATION AND INFLATION OPERAIONS RESEARCH AND DECISIONS No. 4 DOI:.577/ord45 Narayan SINGH* Bindu VAISH* Shiv Raj SINGH* A COLLABORAIVE SRAEGY FOR A HREE ECHELON SUPPLY CHAIN WIH RAMP YPE DEMAND, DEERIORAION AND INFLAION A supply

More information

Probabilistic inventory model for deteriorating items in presence of trade credit period using discounted cash flow approach

Probabilistic inventory model for deteriorating items in presence of trade credit period using discounted cash flow approach Intrnational Journal of Scintific and Rsarch Publications, Volu, Issu, Fbruary ISSN 5-353 Probabilistic invntory odl for riorating its in prsnc of trad crdit priod using discountd cash flow approach Ntu,

More information

On the optimality of a general production lot size inventory model with variable parameters

On the optimality of a general production lot size inventory model with variable parameters On th optimality of a gnral production lot siz invntory modl with variabl paramtrs ZAID.. BALKHI Dpartmnt of Statistics & Oprations Rsarch Collg of Scinc, King Saud Univrsity P.O. Box 55,Riyadh 5 SAUDI

More information

Retailer s Pricing and Ordering Strategy for Weibull Distribution Deterioration under Trade Credit in Declining Market

Retailer s Pricing and Ordering Strategy for Weibull Distribution Deterioration under Trade Credit in Declining Market Applid Mathmatial Sins, Vol. 4, 00, no., 0-00 Rtailr s Priing and Ordring Stratgy for Wibull Distribution Dtrioration undr Trad Crdit in Dlining Markt Nita H. Shah and Nidhi Raykundaliya Dpartmnt of Mathmatis,

More information

Two Products Manufacturer s Production Decisions with Carbon Constraint

Two Products Manufacturer s Production Decisions with Carbon Constraint Managmnt Scinc and Enginring Vol 7 No 3 pp 3-34 DOI:3968/jms9335X374 ISSN 93-34 [Print] ISSN 93-35X [Onlin] wwwcscanadant wwwcscanadaorg Two Products Manufacturr s Production Dcisions with Carbon Constraint

More information

Optimal Inventory Control Problem with Inflation-Dependent Demand Rate Under Stochastic Conditions

Optimal Inventory Control Problem with Inflation-Dependent Demand Rate Under Stochastic Conditions sarch Journal Applid Scincs, Enginring and Tchnology 4(4: 6-5, ISSN: 4-7467 Maxwll Scintific Organization, Submittd: August, Accptd: Sptmbr 8, Publishd: Fbruary 5, Optimal Invntory ontrol Problm with Inflation-Dpndnt

More information

Transitional Probability Model for a Serial Phases in Production

Transitional Probability Model for a Serial Phases in Production Jurnal Karya Asli Lorkan Ahli Matmatik Vol. 3 No. 2 (2010) pag 49-54. Jurnal Karya Asli Lorkan Ahli Matmatik Transitional Probability Modl for a Srial Phass in Production Adam Baharum School of Mathmatical

More information

The Cost Function for a Two-warehouse and Three- Echelon Inventory System

The Cost Function for a Two-warehouse and Three- Echelon Inventory System Intrnational Journal of Industrial Enginring & Production Rsarch Dcmbr 212, Volum 23, Numbr 4 pp. 285-29 IN: 28-4889 http://ijiepr.iust.ac.ir/ Th Cost Function for a Two-warhous and Thr- Echlon Invntory

More information

Construction of asymmetric orthogonal arrays of strength three via a replacement method

Construction of asymmetric orthogonal arrays of strength three via a replacement method isid/ms/26/2 Fbruary, 26 http://www.isid.ac.in/ statmath/indx.php?modul=prprint Construction of asymmtric orthogonal arrays of strngth thr via a rplacmnt mthod Tian-fang Zhang, Qiaoling Dng and Alok Dy

More information

λ(p) D(t) = where we assume that = 1 where is the demand on

λ(p) D(t) = where we assume that = 1 where is the demand on Sudita Sinha., Intrnational Journal of Advancd Enginring Rsarch and Studis E-ISS49 8974 IJAERS/Vol. II/ Issu III/Aril-Jun, /6- Rsarch Par A EOQ ODEL WIH PROGRESSIVE PAYE SCHEE UDER DCF APPROACH WIH PRICE

More information

6.1 Integration by Parts and Present Value. Copyright Cengage Learning. All rights reserved.

6.1 Integration by Parts and Present Value. Copyright Cengage Learning. All rights reserved. 6.1 Intgration by Parts and Prsnt Valu Copyright Cngag Larning. All rights rsrvd. Warm-Up: Find f () 1. F() = ln(+1). F() = 3 3. F() =. F() = ln ( 1) 5. F() = 6. F() = - Objctivs, Day #1 Studnts will b

More information

Homotopy perturbation technique

Homotopy perturbation technique Comput. Mthods Appl. Mch. Engrg. 178 (1999) 257±262 www.lsvir.com/locat/cma Homotopy prturbation tchniqu Ji-Huan H 1 Shanghai Univrsity, Shanghai Institut of Applid Mathmatics and Mchanics, Shanghai 272,

More information

International Journal of Operations Research Vol. 13, No. 2, (2016)

International Journal of Operations Research Vol. 13, No. 2, (2016) Intrnational Journal of Oprations Rsarh Intrnational Journal of Oprations Rsarh Vol. 13, o., 035 046 (016) Optimal ordring poliy with non- inrasing dmand for tim dpndnt dtrioration undr fixd lif tim prodution

More information

Hospital Readmission Reduction Strategies Using a Penalty-Incentive Model

Hospital Readmission Reduction Strategies Using a Penalty-Incentive Model Procdings of th 2016 Industrial and Systms Enginring Rsarch Confrnc H. Yang, Z. Kong, and MD Sardr, ds. Hospital Radmission Rduction Stratgis Using a Pnalty-Incntiv Modl Michll M. Alvarado Txas A&M Univrsity

More information

Application of Vague Soft Sets in students evaluation

Application of Vague Soft Sets in students evaluation Availabl onlin at www.plagiarsarchlibrary.com Advancs in Applid Scinc Rsarch, 0, (6):48-43 ISSN: 0976-860 CODEN (USA): AASRFC Application of Vagu Soft Sts in studnts valuation B. Chtia*and P. K. Das Dpartmnt

More information

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values Dnamic Macroconomic Thor Prof. Thomas Lux Bifurcation Thor Bifurcation: qualitativ chang in th natur of th solution occurs if a paramtr passs through a critical point bifurcation or branch valu. Local

More information

LINEAR DELAY DIFFERENTIAL EQUATION WITH A POSITIVE AND A NEGATIVE TERM

LINEAR DELAY DIFFERENTIAL EQUATION WITH A POSITIVE AND A NEGATIVE TERM Elctronic Journal of Diffrntial Equations, Vol. 2003(2003), No. 92, pp. 1 6. ISSN: 1072-6691. URL: http://jd.math.swt.du or http://jd.math.unt.du ftp jd.math.swt.du (login: ftp) LINEAR DELAY DIFFERENTIAL

More information

2008 AP Calculus BC Multiple Choice Exam

2008 AP Calculus BC Multiple Choice Exam 008 AP Multipl Choic Eam Nam 008 AP Calculus BC Multipl Choic Eam Sction No Calculator Activ AP Calculus 008 BC Multipl Choic. At tim t 0, a particl moving in th -plan is th acclration vctor of th particl

More information

A Prey-Predator Model with an Alternative Food for the Predator, Harvesting of Both the Species and with A Gestation Period for Interaction

A Prey-Predator Model with an Alternative Food for the Predator, Harvesting of Both the Species and with A Gestation Period for Interaction Int. J. Opn Problms Compt. Math., Vol., o., Jun 008 A Pry-Prdator Modl with an Altrnativ Food for th Prdator, Harvsting of Both th Spcis and with A Gstation Priod for Intraction K. L. arayan and. CH. P.

More information

Where k is either given or determined from the data and c is an arbitrary constant.

Where k is either given or determined from the data and c is an arbitrary constant. Exponntial growth and dcay applications W wish to solv an quation that has a drivativ. dy ky k > dx This quation says that th rat of chang of th function is proportional to th function. Th solution is

More information

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter WHEN THE CRAMÉR-RAO INEQUALITY PROVIDES NO INFORMATION STEVEN J. MILLER Abstract. W invstigat a on-paramtr family of probability dnsitis (rlatd to th Parto distribution, which dscribs many natural phnomna)

More information

4. Money cannot be neutral in the short-run the neutrality of money is exclusively a medium run phenomenon.

4. Money cannot be neutral in the short-run the neutrality of money is exclusively a medium run phenomenon. PART I TRUE/FALSE/UNCERTAIN (5 points ach) 1. Lik xpansionary montary policy, xpansionary fiscal policy rturns output in th mdium run to its natural lvl, and incrass prics. Thrfor, fiscal policy is also

More information

Evaluating Reliability Systems by Using Weibull & New Weibull Extension Distributions Mushtak A.K. Shiker

Evaluating Reliability Systems by Using Weibull & New Weibull Extension Distributions Mushtak A.K. Shiker Evaluating Rliability Systms by Using Wibull & Nw Wibull Extnsion Distributions Mushtak A.K. Shikr مشتاق عبذ الغني شخير Univrsity of Babylon, Collg of Education (Ibn Hayan), Dpt. of Mathmatics Abstract

More information

Einstein Equations for Tetrad Fields

Einstein Equations for Tetrad Fields Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for

More information

Using Stochastic Approximation Methods to Compute Optimal Base-Stock Levels in Inventory Control Problems

Using Stochastic Approximation Methods to Compute Optimal Base-Stock Levels in Inventory Control Problems Using Stochastic Approximation Mthods to Comput Optimal Bas-Stoc Lvls in Invntory Control Problms Sumit Kunnumal School of Oprations Rsarch and Information Enginring, Cornll Univrsity, Ithaca, Nw Yor 14853,

More information

Chapter 13 Aggregate Supply

Chapter 13 Aggregate Supply Chaptr 13 Aggrgat Supply 0 1 Larning Objctivs thr modls of aggrgat supply in which output dpnds positivly on th pric lvl in th short run th short-run tradoff btwn inflation and unmploymnt known as th Phillips

More information

Inference Methods for Stochastic Volatility Models

Inference Methods for Stochastic Volatility Models Intrnational Mathmatical Forum, Vol 8, 03, no 8, 369-375 Infrnc Mthods for Stochastic Volatility Modls Maddalna Cavicchioli Cá Foscari Univrsity of Vnic Advancd School of Economics Cannargio 3, Vnic, Italy

More information

4037 ADDITIONAL MATHEMATICS

4037 ADDITIONAL MATHEMATICS CAMBRIDGE INTERNATIONAL EXAMINATIONS GCE Ordinary Lvl MARK SCHEME for th Octobr/Novmbr 0 sris 40 ADDITIONAL MATHEMATICS 40/ Papr, maimum raw mark 80 This mark schm is publishd as an aid to tachrs and candidats,

More information

PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS

PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS Intrnational Journal Of Advanc Rsarch In Scinc And Enginring http://www.ijars.com IJARSE, Vol. No., Issu No., Fbruary, 013 ISSN-319-8354(E) PROOF OF FIRST STANDARD FORM OF NONELEMENTARY FUNCTIONS 1 Dharmndra

More information

Chapter 14 Aggregate Supply and the Short-run Tradeoff Between Inflation and Unemployment

Chapter 14 Aggregate Supply and the Short-run Tradeoff Between Inflation and Unemployment Chaptr 14 Aggrgat Supply and th Short-run Tradoff Btwn Inflation and Unmploymnt Modifid by Yun Wang Eco 3203 Intrmdiat Macroconomics Florida Intrnational Univrsity Summr 2017 2016 Worth Publishrs, all

More information

(Upside-Down o Direct Rotation) β - Numbers

(Upside-Down o Direct Rotation) β - Numbers Amrican Journal of Mathmatics and Statistics 014, 4(): 58-64 DOI: 10593/jajms0140400 (Upsid-Down o Dirct Rotation) β - Numbrs Ammar Sddiq Mahmood 1, Shukriyah Sabir Ali,* 1 Dpartmnt of Mathmatics, Collg

More information

dr Bartłomiej Rokicki Chair of Macroeconomics and International Trade Theory Faculty of Economic Sciences, University of Warsaw

dr Bartłomiej Rokicki Chair of Macroeconomics and International Trade Theory Faculty of Economic Sciences, University of Warsaw dr Bartłomij Rokicki Chair of Macroconomics and Intrnational Trad Thory Faculty of Economic Scincs, Univrsity of Warsaw dr Bartłomij Rokicki Opn Economy Macroconomics Small opn conomy. Main assumptions

More information

Search sequence databases 3 10/25/2016

Search sequence databases 3 10/25/2016 Sarch squnc databass 3 10/25/2016 Etrm valu distribution Ø Suppos X is a random variabl with probability dnsity function p(, w sampl a larg numbr S of indpndnt valus of X from this distribution for an

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

Derangements and Applications

Derangements and Applications 2 3 47 6 23 Journal of Intgr Squncs, Vol. 6 (2003), Articl 03..2 Drangmnts and Applications Mhdi Hassani Dpartmnt of Mathmatics Institut for Advancd Studis in Basic Scincs Zanjan, Iran mhassani@iasbs.ac.ir

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero. SETION 6. 57 6. Evaluation of Dfinit Intgrals Exampl 6.6 W hav usd dfinit intgrals to valuat contour intgrals. It may com as a surpris to larn that contour intgrals and rsidus can b usd to valuat crtain

More information

General Notes About 2007 AP Physics Scoring Guidelines

General Notes About 2007 AP Physics Scoring Guidelines AP PHYSICS C: ELECTRICITY AND MAGNETISM 2007 SCORING GUIDELINES Gnral Nots About 2007 AP Physics Scoring Guidlins 1. Th solutions contain th most common mthod of solving th fr-rspons qustions and th allocation

More information

Exchange rates in the long run (Purchasing Power Parity: PPP)

Exchange rates in the long run (Purchasing Power Parity: PPP) Exchang rats in th long run (Purchasing Powr Parity: PPP) Jan J. Michalk JJ Michalk Th law of on pric: i for a product i; P i = E N/ * P i Or quivalntly: E N/ = P i / P i Ida: Th sam product should hav

More information

The van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012

The van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012 Th van dr Waals intraction D. E. Sopr 2 Univrsity of Orgon 20 pril 202 Th van dr Waals intraction is discussd in Chaptr 5 of J. J. Sakurai, Modrn Quantum Mchanics. Hr I tak a look at it in a littl mor

More information

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA NE APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA Mirca I CÎRNU Ph Dp o Mathmatics III Faculty o Applid Scincs Univrsity Polithnica o Bucharst Cirnumirca @yahoocom Abstract In a rcnt papr [] 5 th indinit intgrals

More information

Exam 1. It is important that you clearly show your work and mark the final answer clearly, closed book, closed notes, no calculator.

Exam 1. It is important that you clearly show your work and mark the final answer clearly, closed book, closed notes, no calculator. Exam N a m : _ S O L U T I O N P U I D : I n s t r u c t i o n s : It is important that you clarly show your work and mark th final answr clarly, closd book, closd nots, no calculator. T i m : h o u r

More information

Supplementary Materials

Supplementary Materials 6 Supplmntary Matrials APPENDIX A PHYSICAL INTERPRETATION OF FUEL-RATE-SPEED FUNCTION A truck running on a road with grad/slop θ positiv if moving up and ngativ if moving down facs thr rsistancs: arodynamic

More information

Difference -Analytical Method of The One-Dimensional Convection-Diffusion Equation

Difference -Analytical Method of The One-Dimensional Convection-Diffusion Equation Diffrnc -Analytical Mthod of Th On-Dimnsional Convction-Diffusion Equation Dalabav Umurdin Dpartmnt mathmatic modlling, Univrsity of orld Economy and Diplomacy, Uzbistan Abstract. An analytical diffrncing

More information

Limiting value of higher Mahler measure

Limiting value of higher Mahler measure Limiting valu of highr Mahlr masur Arunabha Biswas a, Chris Monico a, a Dpartmnt of Mathmatics & Statistics, Txas Tch Univrsity, Lubbock, TX 7949, USA Abstract W considr th k-highr Mahlr masur m k P )

More information

y = 2xe x + x 2 e x at (0, 3). solution: Since y is implicitly related to x we have to use implicit differentiation: 3 6y = 0 y = 1 2 x ln(b) ln(b)

y = 2xe x + x 2 e x at (0, 3). solution: Since y is implicitly related to x we have to use implicit differentiation: 3 6y = 0 y = 1 2 x ln(b) ln(b) 4. y = y = + 5. Find th quation of th tangnt lin for th function y = ( + ) 3 whn = 0. solution: First not that whn = 0, y = (1 + 1) 3 = 8, so th lin gos through (0, 8) and thrfor its y-intrcpt is 8. y

More information

EXST Regression Techniques Page 1

EXST Regression Techniques Page 1 EXST704 - Rgrssion Tchniqus Pag 1 Masurmnt rrors in X W hav assumd that all variation is in Y. Masurmnt rror in this variabl will not ffct th rsults, as long as thy ar uncorrlatd and unbiasd, sinc thy

More information

The Equitable Dominating Graph

The Equitable Dominating Graph Intrnational Journal of Enginring Rsarch and Tchnology. ISSN 0974-3154 Volum 8, Numbr 1 (015), pp. 35-4 Intrnational Rsarch Publication Hous http://www.irphous.com Th Equitabl Dominating Graph P.N. Vinay

More information

First derivative analysis

First derivative analysis Robrto s Nots on Dirntial Calculus Chaptr 8: Graphical analysis Sction First drivativ analysis What you nd to know alrady: How to us drivativs to idntiy th critical valus o a unction and its trm points

More information

Higher order derivatives

Higher order derivatives Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of

More information

Network Congestion Games

Network Congestion Games Ntwork Congstion Gams Assistant Profssor Tas A&M Univrsity Collg Station, TX TX Dallas Collg Station Austin Houston Bst rout dpnds on othrs Ntwork Congstion Gams Travl tim incrass with congstion Highway

More information

Estimation of apparent fraction defective: A mathematical approach

Estimation of apparent fraction defective: A mathematical approach Availabl onlin at www.plagiarsarchlibrary.com Plagia Rsarch Library Advancs in Applid Scinc Rsarch, 011, (): 84-89 ISSN: 0976-8610 CODEN (USA): AASRFC Estimation of apparnt fraction dfctiv: A mathmatical

More information

Inflation and Unemployment

Inflation and Unemployment C H A P T E R 13 Aggrgat Supply and th Short-run Tradoff Btwn Inflation and Unmploymnt MACROECONOMICS SIXTH EDITION N. GREGORY MANKIW PowrPoint Slids by Ron Cronovich 2008 Worth Publishrs, all rights rsrvd

More information

Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J.

Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J. Probability and Stochastic Procsss: A Frindly Introduction for Elctrical and Computr Enginrs Roy D. Yats and David J. Goodman Problm Solutions : Yats and Goodman,4.3. 4.3.4 4.3. 4.4. 4.4.4 4.4.6 4.. 4..7

More information

Differentiation of Exponential Functions

Differentiation of Exponential Functions Calculus Modul C Diffrntiation of Eponntial Functions Copyright This publication Th Northrn Albrta Institut of Tchnology 007. All Rights Rsrvd. LAST REVISED March, 009 Introduction to Diffrntiation of

More information

Brief Introduction to Statistical Mechanics

Brief Introduction to Statistical Mechanics Brif Introduction to Statistical Mchanics. Purpos: Ths nots ar intndd to provid a vry quick introduction to Statistical Mchanics. Th fild is of cours far mor vast than could b containd in ths fw pags.

More information

Inheritance Gains in Notional Defined Contributions Accounts (NDCs)

Inheritance Gains in Notional Defined Contributions Accounts (NDCs) Company LOGO Actuarial Tachrs and Rsarchrs Confrnc Oxford 14-15 th July 211 Inhritanc Gains in Notional Dfind Contributions Accounts (NDCs) by Motivation of this papr In Financial Dfind Contribution (FDC)

More information

10. The Discrete-Time Fourier Transform (DTFT)

10. The Discrete-Time Fourier Transform (DTFT) Th Discrt-Tim Fourir Transform (DTFT Dfinition of th discrt-tim Fourir transform Th Fourir rprsntation of signals plays an important rol in both continuous and discrt signal procssing In this sction w

More information

Systems of Equations

Systems of Equations CHAPTER 4 Sstms of Equations 4. Solving Sstms of Linar Equations in Two Variabls 4. Solving Sstms of Linar Equations in Thr Variabls 4. Sstms of Linar Equations and Problm Solving Intgratd Rviw Sstms of

More information

Engineering 323 Beautiful HW #13 Page 1 of 6 Brown Problem 5-12

Engineering 323 Beautiful HW #13 Page 1 of 6 Brown Problem 5-12 Enginring Bautiful HW #1 Pag 1 of 6 5.1 Two componnts of a minicomputr hav th following joint pdf for thir usful liftims X and Y: = x(1+ x and y othrwis a. What is th probability that th liftim X of th

More information

Section 11.6: Directional Derivatives and the Gradient Vector

Section 11.6: Directional Derivatives and the Gradient Vector Sction.6: Dirctional Drivativs and th Gradint Vctor Practic HW rom Stwart Ttbook not to hand in p. 778 # -4 p. 799 # 4-5 7 9 9 35 37 odd Th Dirctional Drivativ Rcall that a b Slop o th tangnt lin to th

More information

4.2 Design of Sections for Flexure

4.2 Design of Sections for Flexure 4. Dsign of Sctions for Flxur This sction covrs th following topics Prliminary Dsign Final Dsign for Typ 1 Mmbrs Spcial Cas Calculation of Momnt Dmand For simply supportd prstrssd bams, th maximum momnt

More information

On the irreducibility of some polynomials in two variables

On the irreducibility of some polynomials in two variables ACTA ARITHMETICA LXXXII.3 (1997) On th irrducibility of som polynomials in two variabls by B. Brindza and Á. Pintér (Dbrcn) To th mmory of Paul Erdős Lt f(x) and g(y ) b polynomials with intgral cofficints

More information

Recursive Estimation of Dynamic Time-Varying Demand Models

Recursive Estimation of Dynamic Time-Varying Demand Models Intrnational Confrnc on Computr Systms and chnologis - CompSysch 06 Rcursiv Estimation of Dynamic im-varying Dmand Modls Alxandr Efrmov Abstract: h papr prsnts an implmntation of a st of rcursiv algorithms

More information

Sec 2.3 Modeling with First Order Equations

Sec 2.3 Modeling with First Order Equations Sc.3 Modling with First Ordr Equations Mathmatical modls charactriz physical systms, oftn using diffrntial quations. Modl Construction: Translating physical situation into mathmatical trms. Clarly stat

More information

Constants and Conversions:

Constants and Conversions: EXAM INFORMATION Radial Distribution Function: P 2 ( r) RDF( r) Br R( r ) 2, B is th normalization constant. Ordr of Orbital Enrgis: Homonuclar Diatomic Molculs * * * * g1s u1s g 2s u 2s u 2 p g 2 p g

More information

EXPONENTIAL ENTROPY ON INTUITIONISTIC FUZZY SETS

EXPONENTIAL ENTROPY ON INTUITIONISTIC FUZZY SETS K Y B E R N E T I K A V O L U M E 4 9 0 3, N U M B E R, P A G E S 4 7 EXPONENTIAL ENTROPY ON INTUITIONISTIC FUZZY SETS Rajkumar Vrma and Bhu Dv Sharma In th prsnt papr, basd on th concpt of fuzzy ntropy,

More information

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002 3.4 Forc Analysis of Linkas An undrstandin of forc analysis of linkas is rquird to: Dtrmin th raction forcs on pins, tc. as a consqunc of a spcifid motion (don t undrstimat th sinificanc of dynamic or

More information

VALUING SURRENDER OPTIONS IN KOREAN INTEREST INDEXED ANNUITIES

VALUING SURRENDER OPTIONS IN KOREAN INTEREST INDEXED ANNUITIES VALUING SURRENDER OPTIONS IN KOREAN INTEREST INDEXED ANNUITIES Changi Kim* * Dr. Changi Kim is Lcturr at Actuarial Studis Faculty of Commrc & Economics Th Univrsity of Nw South Wals Sydny NSW 2052 Australia.

More information

A Propagating Wave Packet Group Velocity Dispersion

A Propagating Wave Packet Group Velocity Dispersion Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to

More information

ECE602 Exam 1 April 5, You must show ALL of your work for full credit.

ECE602 Exam 1 April 5, You must show ALL of your work for full credit. ECE62 Exam April 5, 27 Nam: Solution Scor: / This xam is closd-book. You must show ALL of your work for full crdit. Plas rad th qustions carfully. Plas chck your answrs carfully. Calculators may NOT b

More information

arxiv: v3 [cs.gt] 1 Jan 2019

arxiv: v3 [cs.gt] 1 Jan 2019 Pric of Anarchy in Ntworks with Htrognous Latncy Functions Sanjiv Kapoor and Junghwan Shin arxiv:407.299v3 [cs.gt] Jan 209 Abstract W addrss th prformanc of slfish ntwork routing in multi-commodity flows

More information

2.3 Matrix Formulation

2.3 Matrix Formulation 23 Matrix Formulation 43 A mor complicatd xampl ariss for a nonlinar systm of diffrntial quations Considr th following xampl Exampl 23 x y + x( x 2 y 2 y x + y( x 2 y 2 (233 Transforming to polar coordinats,

More information

Ewald s Method Revisited: Rapidly Convergent Series Representations of Certain Green s Functions. Vassilis G. Papanicolaou 1

Ewald s Method Revisited: Rapidly Convergent Series Representations of Certain Green s Functions. Vassilis G. Papanicolaou 1 wald s Mthod Rvisitd: Rapidly Convrgnt Sris Rprsntations of Crtain Grn s Functions Vassilis G. Papanicolaou 1 Suggstd Running Had: wald s Mthod Rvisitd Complt Mailing Addrss of Contact Author for offic

More information

Problem Set 6 Solutions

Problem Set 6 Solutions 6.04/18.06J Mathmatics for Computr Scinc March 15, 005 Srini Dvadas and Eric Lhman Problm St 6 Solutions Du: Monday, March 8 at 9 PM in Room 3-044 Problm 1. Sammy th Shark is a financial srvic providr

More information

Chapter 1. Chapter 10. Chapter 2. Chapter 11. Chapter 3. Chapter 12. Chapter 4. Chapter 13. Chapter 5. Chapter 14. Chapter 6. Chapter 7.

Chapter 1. Chapter 10. Chapter 2. Chapter 11. Chapter 3. Chapter 12. Chapter 4. Chapter 13. Chapter 5. Chapter 14. Chapter 6. Chapter 7. Chaptr Binomial Epansion Chaptr 0 Furthr Probability Chaptr Limits and Drivativs Chaptr Discrt Random Variabls Chaptr Diffrntiation Chaptr Discrt Probability Distributions Chaptr Applications of Diffrntiation

More information

Equilibria in a Capacity-Constrained Di erentiated Duopoly

Equilibria in a Capacity-Constrained Di erentiated Duopoly Equilibria in a Capacity-Constraind Di rntiatd Duopoly Maxim Sinitsyn McGill Univrsity Prliminary and incomplt. Abstract In this papr I analyz th modl of pric-stting duopoly with capacity-constraind rms

More information

Properties of Phase Space Wavefunctions and Eigenvalue Equation of Momentum Dispersion Operator

Properties of Phase Space Wavefunctions and Eigenvalue Equation of Momentum Dispersion Operator Proprtis of Phas Spac Wavfunctions and Eignvalu Equation of Momntum Disprsion Oprator Ravo Tokiniaina Ranaivoson 1, Raolina Andriambololona 2, Hanitriarivo Rakotoson 3 raolinasp@yahoo.fr 1 ;jacqulinraolina@hotmail.com

More information

Observer Bias and Reliability By Xunchi Pu

Observer Bias and Reliability By Xunchi Pu Obsrvr Bias and Rliability By Xunchi Pu Introduction Clarly all masurmnts or obsrvations nd to b mad as accuratly as possibl and invstigators nd to pay carful attntion to chcking th rliability of thir

More information

Calculus II (MAC )

Calculus II (MAC ) Calculus II (MAC232-2) Tst 2 (25/6/25) Nam (PRINT): Plas show your work. An answr with no work rcivs no crdit. You may us th back of a pag if you nd mor spac for a problm. You may not us any calculators.

More information

1997 AP Calculus AB: Section I, Part A

1997 AP Calculus AB: Section I, Part A 997 AP Calculus AB: Sction I, Part A 50 Minuts No Calculator Not: Unlss othrwis spcifid, th domain of a function f is assumd to b th st of all ral numbrs for which f () is a ral numbr.. (4 6 ) d= 4 6 6

More information

The Open Economy in the Short Run

The Open Economy in the Short Run Economics 442 Mnzi D. Chinn Spring 208 Social Scincs 748 Univrsity of Wisconsin-Madison Th Opn Economy in th Short Run This st of nots outlins th IS-LM modl of th opn conomy. First, it covrs an accounting

More information

CO-ORDINATION OF FAST NUMERICAL RELAYS AND CURRENT TRANSFORMERS OVERDIMENSIONING FACTORS AND INFLUENCING PARAMETERS

CO-ORDINATION OF FAST NUMERICAL RELAYS AND CURRENT TRANSFORMERS OVERDIMENSIONING FACTORS AND INFLUENCING PARAMETERS CO-ORDINATION OF FAST NUMERICAL RELAYS AND CURRENT TRANSFORMERS OVERDIMENSIONING FACTORS AND INFLUENCING PARAMETERS Stig Holst ABB Automation Products Swdn Bapuji S Palki ABB Utilitis India This papr rports

More information

Propositional Logic. Combinatorial Problem Solving (CPS) Albert Oliveras Enric Rodríguez-Carbonell. May 17, 2018

Propositional Logic. Combinatorial Problem Solving (CPS) Albert Oliveras Enric Rodríguez-Carbonell. May 17, 2018 Propositional Logic Combinatorial Problm Solving (CPS) Albrt Olivras Enric Rodríguz-Carbonll May 17, 2018 Ovrviw of th sssion Dfinition of Propositional Logic Gnral Concpts in Logic Rduction to SAT CNFs

More information

Mathematics. Complex Number rectangular form. Quadratic equation. Quadratic equation. Complex number Functions: sinusoids. Differentiation Integration

Mathematics. Complex Number rectangular form. Quadratic equation. Quadratic equation. Complex number Functions: sinusoids. Differentiation Integration Mathmatics Compl numbr Functions: sinusoids Sin function, cosin function Diffrntiation Intgration Quadratic quation Quadratic quations: a b c 0 Solution: b b 4ac a Eampl: 1 0 a= b=- c=1 4 1 1or 1 1 Quadratic

More information

Vehicle Routing Problem with Simultaneous Pickup and Delivery in Cross-Docking Environment

Vehicle Routing Problem with Simultaneous Pickup and Delivery in Cross-Docking Environment Vhicl Routing Problm with Simultanous Picup and Dlivry in Cross-Docing Environmnt Chiong Huang and Yun-Xi Liu Abstract This study will discuss th vhicl routing problm with simultanous picup and dlivry

More information

Full Waveform Inversion Using an Energy-Based Objective Function with Efficient Calculation of the Gradient

Full Waveform Inversion Using an Energy-Based Objective Function with Efficient Calculation of the Gradient Full Wavform Invrsion Using an Enrgy-Basd Objctiv Function with Efficint Calculation of th Gradint Itm yp Confrnc Papr Authors Choi, Yun Sok; Alkhalifah, ariq Ali Citation Choi Y, Alkhalifah (217) Full

More information

COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM

COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM Jim Brown Dpartmnt of Mathmatical Scincs, Clmson Univrsity, Clmson, SC 9634, USA jimlb@g.clmson.du Robrt Cass Dpartmnt of Mathmatics,

More information

cycle that does not cross any edges (including its own), then it has at least

cycle that does not cross any edges (including its own), then it has at least W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th

More information

Author pre-print (submitted version) deposited in CURVE May 2014 Original citation & hyperlink:

Author pre-print (submitted version) deposited in CURVE May 2014 Original citation & hyperlink: Optimization of intgratd rvrs logistics ntworks with diffrnt product rcovry routs Niknjad, A. and Ptrović, D. Author pr-print (submittd vrsion) dpositd in CURVE May 2014 Original citation & hyprlink: Niknjad,

More information

Another view for a posteriori error estimates for variational inequalities of the second kind

Another view for a posteriori error estimates for variational inequalities of the second kind Accptd by Applid Numrical Mathmatics in July 2013 Anothr viw for a postriori rror stimats for variational inqualitis of th scond kind Fi Wang 1 and Wimin Han 2 Abstract. In this papr, w giv anothr viw

More information

Deift/Zhou Steepest descent, Part I

Deift/Zhou Steepest descent, Part I Lctur 9 Dift/Zhou Stpst dscnt, Part I W now focus on th cas of orthogonal polynomials for th wight w(x) = NV (x), V (x) = t x2 2 + x4 4. Sinc th wight dpnds on th paramtr N N w will writ π n,n, a n,n,

More information

MEASURING ECONOMIC IMPACT OF A DISASTER WITHOUT DOUBLE COUNTING: A THEORETICAL ANALYSIS

MEASURING ECONOMIC IMPACT OF A DISASTER WITHOUT DOUBLE COUNTING: A THEORETICAL ANALYSIS MEASURING ECONOMIC IMPACT OF A DISASTER WITHOUT DOUBLE COUNTING: A THEORETICAL ANALYSIS ABSTRACT : H. Tatano and K. Nakano Profssor, Disastr Prvntion Rsarch Institut, Kyoto Univrsity, Uji. Japan Ph.D Candidat,

More information

Background: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals.

Background: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals. Chaptr 7 Th Hydrogn Atom Background: W hav discussd th PIB HO and th nrgy of th RR modl. In this chaptr th H-atom and atomic orbitals. * A singl particl moving undr a cntral forc adoptd from Scott Kirby

More information

u 3 = u 3 (x 1, x 2, x 3 )

u 3 = u 3 (x 1, x 2, x 3 ) Lctur 23: Curvilinar Coordinats (RHB 8.0 It is oftn convnint to work with variabls othr than th Cartsian coordinats x i ( = x, y, z. For xampl in Lctur 5 w mt sphrical polar and cylindrical polar coordinats.

More information

Elements of Statistical Thermodynamics

Elements of Statistical Thermodynamics 24 Elmnts of Statistical Thrmodynamics Statistical thrmodynamics is a branch of knowldg that has its own postulats and tchniqus. W do not attmpt to giv hr vn an introduction to th fild. In this chaptr,

More information

A. Limits and Horizontal Asymptotes ( ) f x f x. f x. x "±# ( ).

A. Limits and Horizontal Asymptotes ( ) f x f x. f x. x ±# ( ). A. Limits and Horizontal Asymptots What you ar finding: You can b askd to find lim x "a H.A.) problm is asking you find lim x "# and lim x "$#. or lim x "±#. Typically, a horizontal asymptot algbraically,

More information

International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN

International Journal of Scientific & Engineering Research, Volume 6, Issue 7, July ISSN Intrnational Journal of Scintific & Enginring Rsarch, Volum 6, Issu 7, July-25 64 ISSN 2229-558 HARATERISTIS OF EDGE UTSET MATRIX OF PETERSON GRAPH WITH ALGEBRAI GRAPH THEORY Dr. G. Nirmala M. Murugan

More information

Answer Homework 5 PHA5127 Fall 1999 Jeff Stark

Answer Homework 5 PHA5127 Fall 1999 Jeff Stark Answr omwork 5 PA527 Fall 999 Jff Stark A patint is bing tratd with Drug X in a clinical stting. Upon admiion, an IV bolus dos of 000mg was givn which yildd an initial concntration of 5.56 µg/ml. A fw

More information

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis Middl East Tchnical Univrsity Dpartmnt of Mchanical Enginring ME 43 Introduction to Finit Elmnt Analysis Chaptr 3 Computr Implmntation of D FEM Ths nots ar prpard by Dr. Cünyt Srt http://www.m.mtu.du.tr/popl/cunyt

More information